Single-cell-resolved systems biology methods, including omics-and imaging-based
measurement modalities, generate a wealth of high-dimensional data characterizing the …

Myositis comprises a heterogeneous group of skeletal muscle disorders which converge on
chronic muscle inflammation and weakness. Our understanding of myositis pathogenesis is …

This study introduces an electroencephalography (EEG)-based dataset to analyze lie
detection. Various analyses or detections can be performed using EEG signals. Lie …

Conventional methods of data sampling in agriculture are time consuming, labor intensive,
destructive, subject to human error and affected by field conditions. Thus, remote sensing …

Recently, different deep learning based techniques have been proposed to detect intrusions
and anomalies in the information systems. Convolutional neural networks are often used to …

All food is at risk of contamination, and their consumption has caused an estimated 600
million people to fall ill every year. This chapter will provide a contextualized overview of big …

In the dynamic landscape of cybersecurity, curated knowledge plays a pivotal role in
empowering security analysts to respond effectively to cyber threats. Cyber Threat …